chengbinjin / real-time-style-transfer Goto Github PK
View Code? Open in Web Editor NEWTensorflow implementation of Justin Johnson's paper, perceptual losses for real-time style transfer and super-resolution.
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bobby0407 deep0learning ohhalice1995 debanga ramidecodes aoe-khkhan unveliedperception rakeshksaraf xzllxls nathanlct daeverb alisonwqq gregaw freedreamer-crypto prashant9316 nanasociu dottrosa dykuang takaahii samgregoost share424 ellabaeaetsch kmpaula qiy dakenyue mugheerasaleem fengchenfreal-time-style-transfer's Issues
TV loss tends to 0
Thanks for you codes,following your code and style images,I re-train the models ,but the tv loss tends to 0 during training,thus the results become to pure color.Have you ever had such a problem?How to balance various loss weights?thanks
Result is not as ideal as original paper
Thanks a lot for ur implementation. I have re-implemented this paper following ur code. But the result was not as ideal as the original paper. Espeicially, the generater images are kinds of speckled. Did u find such phenomenon?
ValueError: too many values to unpack (expected 2)
Thank you for the code! I was trying to run this code, but got a traceback.
Traceback (most recent call last):
File "main.py", line 76, in <module>
tf.app.run()
File "C:\Users\Username\Documents\GitHub\Projectname\.venv\lib\site-packages\tensorflow\python\platform\app.py", line 126, in run
_sys.exit(main(argv))
File "main.py", line 71, in main
solver = Solver(FLAGS)
File "C:\Users\Username\Documents\GitHub\Projectname\solver.py", line 37, in __init__
self.model = StyleTranser(self.sess, self.flags, self.num_iters)
File "C:\Users\Username\Documents\GitHub\Projectname\style_transfer.py", line 36, in __init__
self._build_net()
File "C:\Users\Username\Documents\GitHub\Projectname\style_transfer.py", line 48, in _build_net
vgg_dic = self.vgg(self.style_img_ph)
File "C:\Users\Username\Documents\GitHub\Projectname\style_transfer.py", line 219, in __call__
kernels, bias = self.weights[i][0][0][0][0]
ValueError: too many values to unpack (expected 2)
How should I solve this?
I matched all python package requirements to what was written in this repository
The evaluation model link is broken
The pretrained network link seems to have a broken link. It would be of great help if you could fix that.
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